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People used to dig for water up to a depth of 360 feet, and occasionally even more than 400 feet, in some areas where the ground water table is so low. Children have been known to fall into bore wells as a result of sloppy or indifferent covering. The equipment that is currently available to save the child is less efficient and also more expensive. Typically, to reach the youngster, a parallel hole is dug, and then a horizontal path is created. It is not only a time-consuming operation, but it also carries a number of risks. The community therefore requires a new, more effective and efficient technique. The Borewell Rescue System is able to move inside the same borewell where the youngster has been confined and carries out a number of rescue-related tasks. So we come out with a solution to rescue those innocent child by using Raspberry pi, Robotic claw, LED light, DHT11 sensor and oxygen pump. By using Raspberry Pi we control and monitor the camera module, as the depth increases we use LED lights which is controlled by blynk and the robotic claw is used to pick and hold the baby which is based on the program in it. In addition we have oxygen pump to supply oxygen inside the hole to the baby and motor to pull and push the Robotic Claw and Raspberry Pi control modules. Because it involves saving lives, this advanced rescue system is a human-controlled computerized system that focuses on cost effectiveness as well as quick reaction time and precision.
Keywords:
Child Rescue System, Open Borewells, LED Module, Raspberry-Pi, Robotic Claw & Blynk Platform
Cite Article:
"CONSTRUCTION OF ADVANCED CHILD RESCUE SYSTEM FROM OPEN BOREWELLS BY USING ROBOTIC CLAWS AND RASPBERRY-PI MODULE", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 9, page no.132 - 139, September-2023, Available :http://www.ijrti.org/papers/IJRTI2309020.pdf
Downloads:
000205166
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator